On location models for ubiquitous computing

By Christian Becker, Frank Dürr. Personal and Ubiquitous Computing, 2004

298 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/c6a54ec02c046963fa3e259e25bf71b55397ebf7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Jadwiga Indulska
2. Karen Henricksen
3. Ignas G. Niemegeers
4. Daniela Nicklas
5. Oliver Brdiczka
6. Claudio Bettini
7. Anand Ranganathan
8. Daniele Riboni

In Electrical and Electronic Engineering

1. Ignas G. Niemegeers
2. Yanying Gu
3. Anthony C. C. Lo

In Signal Processing

1. Ignas G. Niemegeers
2. Jadwiga Indulska
3. Karen Henricksen
4. Yanying Gu
5. Anthony C. C. Lo

Citations in the corpus

• A survey of context modelling and reasoning techniques (2010, methodology): “CML leverages the formality of ORM to support the evaluation of simple assertions as well as SQL-like queries.”
• A survey of indoor positioning systems for wireless personal networks (2009, methodology): “The software location abstractions layer converts the data reported from the location sensing systems layer into a required presentation of the locations [18].”